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Director of artificial intelligence innovation

Dublin
beBeeMachineLearning
Director
Posted: 31 July
Offer description

Chief Machine Learning Strategist

Shape the AI capabilities of a rapidly scaling platform used by thousands of businesses worldwide.

* Define the machine learning strategy aligned with business goals—ranging from customer-facing features to operational analytics.
* Recruit, mentor, and lead a diverse team of ML engineers, data scientists, and MLOps specialists.
* Guide ML projects end-to-end—from ideation and prototyping through to A/B testing, monitoring, and maintenance in production.
* Architect robust MLOps pipelines for model training, evaluation, deployment, and continuous monitoring.
* Partner with Product, Engineering, Design, and Customer Success to ensure ML features are impactful, reliable, and seamlessly integrated.


Requirements

* Proven track record: 12+ years in ML/AI, with at least 5 years in a leadership role, managing teams of 5+
* Product-driven mindset: Experience taking ML features from concept to production at scale in a SaaS environment.
* Technical expertise: Strong background in supervised/unsupervised learning, deep learning frameworks (TensorFlow, PyTorch), and modern data engineering (Spark, Kafka, Redshift).
* MLOps savvy: Hands-on with containerized deployments, monitoring, feature stores, and model governance.
* Communication skills: Ability to translate complex technical concepts for executive stakeholders, customers, and non-technical teams.
* Educational foundation: Master's or Ph.D. in Computer Science, Statistics, Data Science, or a related field preferred.


What We Offer

* High-impact role: Shape the AI capabilities of a rapidly scaling platform used by thousands of businesses worldwide.
* Equity & rewards: Competitive salary, meaningful equity package, performance bonuses, and benefits.
* Autonomy & ownership: Build your team, define the architecture, and champion experimental ML initiatives.
* Learning & development: Dedicated budget for training, conference attendance, and advanced research.
* Collaborative culture: Work alongside passionate engineers and product leaders in an open, inclusive environment.

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